Data Engineer (Azure, Fabric, Databricks)

Collectiv is hiring a Data Engineer to design, implement, and support modern client data platforms using Microsoft Fabric and Databricks. The role translates business requirements into scalable lakehouse architectures, analytics models, and reliable self-service BI solutions while collaborating with client stakeholders and consulting teams.

Responsibilities:

• Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)
• Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
• Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
• Translate business and analytical requirements into technical designs and data models
• Develop and maintain semantic models that enable performant reporting and self-service analytics
• Partner with analytics and business teams to deliver trusted datasets and dashboards (Power BI or equivalent)
• Ensure data quality, reliability, and usability across the analytics platform
• Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads
• Apply version control, CI/CD concepts, and code review standards to data engineering workflows
• Ensure solutions meet quality criteria related to performance, scalability, and maintainability
• Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations
• Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals
• Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv

Requirements:

• Bachelor's degree from an accredited university
• 4+ years of experience in data engineering, analytics engineering, or data platform consulting
• Hands-on experience with Microsoft Fabric and/or Databricks in production environments
• Strong SQL skills, including performance tuning and optimization
• Experience designing data models for analytics (star schemas, semantic models, lakehouse patterns)
• Experience working in cloud data platforms (Azure preferred)
• Ability to work independently in a client-facing consulting role
• experience with both strongly preferred
• Experience migrating or modernizing data platforms (e.g., legacy DW to lakehouse)
• Familiarity with Power BI dataset modeling and performance optimization
• Experience integrating data platforms with downstream applications or APIs
• Consulting experience with multiple clients or industries
• Strong written and verbal communication skills
• Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks certifications are highly desirable